Bibliographic record
Abstract
J.P. Morgan Chase gets ready to offer EIPP In the ceaseless quest to secure greater efficiencies, businesses are gearing up for new ways to interact with their supply chain. And so, it's out with old, messy manual methods of phone, fax, and paper; in with electronic data transfer. E-procurement is an idea that gained its profile in the dot-com world and is a notion beginning to get attention from traditional companies, including banks. Bank of America, Citibank, Deutsche Bank, and First Union are some of the banks beginning to offer electronic payment solutions for businesses, says Avivah Litan, vice-president of payment systems for TowerGroup, Needham, Mass. After all, sophisticated electronic procurement methods akin to those offered by e-commerce provider Ariba require equally streamlined invoicing and payment methods--online--to complete the efficiency cycle. And what better dispatcher of a payment solution than a bank? So goes the logic within the J.P. Morgan Treasury Services Unit of J.P. Morgan Chase, which along with other early big bank adopters is out to stay ahead of changing cash management practices. Chase is set to offer an electronic invoicing presentment and payment system (EIPP) to Fortune 1000 clients. J.P. Morgan Chase partnered with BCE Emergis, based in Montreal. This technology developer (which picked up the core solution from an earlier acquisition of a U.S. tech firm, Invoice Link Corp.) created a customized version of its e-invoicing service that it will host for the bank, which, in turn, will market e-invoicing to treasury clients. While electronic billpay and bill presentment (EBPP) has gotten tons of ink, similar processes on the business side are less discussed. And yet, for BCE Emergis and others, great opportunity lies in that highly trafficked yet underserved arena. Basically, in putting a conduit between customer and biller, electronic presentment of invoices and statements could help tame the paper trail in large companies, which are typically overrun with invoices and need more streamlined methods for getting invoices and shipments matched, confirmed, and paid for. Banks like Chase are very excited about offering their clients more services in the cash management area, says Alan Neely, senior vice-president of e-Invoicing solution for BCE Emergis. CFOs of large companies often turn to banks to get advice about appropriate strategies for moving money. We think they are looking for a one-stop shop provider of these types of services. With consumers, typically, one member of a household is the designated billpayer and problems are relatively rare. For businesses, though, payment for goods and services often involves disputes, or a need for clarification before a final approval is granted and a check cut. Billing cycles range from 30 to 90 days. I think many billers mistakenly believe that their customers hold on to money as long as possible before making payments, when the reality is, they want to move it along faster, but have trouble keeping track of their documents, indicates Paul Simons, vice-president and senior product manager for EIPP at J.P. Morgan Treasury Services Unit. The hosted EIPP service lets both billers and customers avoid the high cost and complexity of EDI, says Simons, and is designed to integrate with existing enterprise resource planning, accounts receivable, and customer relationship management systems. So a company that is trying to keep its paperwork organized can subtract from organizational complexity. …
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.008 | 0.025 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.029 | 0.018 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".